Package: tidymodlr 1.0.0

tidymodlr: An R6 Class to Perform Analysis on Long Tidy Data

Transforms long data into a matrix form to allow for ease of input into modelling packages for regression, principal components, imputation or machine learning. It does this by pivoting on user defined columns, generating a key-value table for variable names to ensure one-to-one mappings are preserved. It is particularly useful when the indicator names in the columns are long descriptive strings, for example "Energy imports, net (% of energy use)". High level analysis wrapper functions for correlation and principal components analysis are provided.

Authors:David Hammond [aut, cre]

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NEWS

Peer review:

Bug tracker:https://github.com/david-hammond/tidymodlr/issues

On CRAN:

2 exports 1.16 score 115 dependencies 4 scripts

Last updated 29 days agofrom:d2b8f3835b. Checks:OK: 7. Indexed: yes.

Exports:make_key_valuetidymodl

Dependencies:abindbackportsbase64encBHbootbroombslibcacachemcarcarDatacliclustercodetoolscolorspacecorrrcowplotcpp11crosstalkDerivdigestdoBydplyrDTellipseemmeansestimabilityevaluateFactoMineRfansifarverfastmapflashClustfontawesomeforeachfsgclusgenericsggplot2ggrepelgluegtablehighrhtmltoolshtmlwidgetshttpuvisobanditeratorsjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmunsellmvtnormnlmenloptrNLPnnetnumDerivpbkrtestpermutepillarpkgconfigpromisespurrrqapquantregR6rappdirsRColorBrewerRcppRcppEigenregistryrlangrmarkdownsassscalesscatterplot3dseriationslamSparseMstringistringrsurvivaltibbletidyrtidyselecttinytextmTSPutf8vctrsveganviridisLitewithrxfunxml2yaml